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Google Cloud Certified Professional-Data-Engineer 來吧，你將是未來最棒的IT專家。

現在你還可以嘗試在Shobhadoshi的網站上免費下載我們您提供的Google Professional-Data-Engineer - Google Certified Professional Data Engineer Exam熱門認證 認證考試的測試軟體和部分練習題和答案來。 一生輾轉千萬裏，莫問成敗重幾許，得之坦然，失之淡然，與其在別人的輝煌裏仰望，不如親手點亮自己的心燈，揚帆遠航。Shobhadoshi Google的Professional-Data-Engineer 新版題庫上線考試培訓資料將是你成就輝煌的第一步，有了它，你一定會通過眾多人都覺得艱難無比的Google的Professional-Data-Engineer 新版題庫上線考試認證，獲得了這個認證，你就可以在你人生中點亮你的心燈，開始你新的旅程，展翅翱翔，成就輝煌人生。

Shobhadoshi是個能夠加速你通過Google Professional-Data-Engineer熱門認證認證考試的網站。我們的Google Professional-Data-Engineer熱門認證 認證考試的考古題是Shobhadoshi的專家不斷研究出來的。當你還在為通過Google Professional-Data-Engineer熱門認證 認證考試而奮鬥時，選擇Shobhadoshi的Google Professional-Data-Engineer熱門認證 認證考試的最新考古題將給你的復習備考帶來很大的幫助。

Google Professional-Data-Engineer熱門認證 - 這是通過考試最快的捷徑了。

Google Professional-Data-Engineer熱門認證認證考試是IT人士在踏上職位提升之路的第一步。通過了Google Professional-Data-Engineer熱門認證 認證考試是你邁向事業頂峰的的墊腳石。Shobhadoshi可以幫助你通過Google Professional-Data-Engineer熱門認證認證考試。

在這裏我想說的就是怎樣才能更有效率地準備Professional-Data-Engineer熱門認證考試，並且一次就通過考試拿到考試的認證資格。Google的認證考試現在是很有人氣的考試。

Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
You need to create a near real-time inventory dashboard that reads the main inventory tables in your BigQuery data warehouse. Historical inventory data is stored as inventory balances by item and location. You have several thousand updates to inventory every hour. You want to maximize performance of the dashboard and ensure that the data is accurate. What should you do?
A. Use the BigQuery streaming the stream changes into a daily inventory movement table. Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
B. Use the BigQuery bulk loader to batch load inventory changes into a daily inventory movement table.
Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
C. Leverage BigQuery UPDATE statements to update the inventory balances as they are changing.
D. Partition the inventory balance table by item to reduce the amount of data scanned with each inventory update.
Answer: C

QUESTION NO: 2
You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?
A. Using the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.
B. In the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.
C. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.
D. Make a call to the Stackdriver API to list all logs, and apply an advanced filter.
Answer: C

QUESTION NO: 3
Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?
A. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
B. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
C. Get the identity and access management IIAM) policy of each table
D. Use Google Stackdriver Audit Logs to review data access.
Answer: B

QUESTION NO: 4
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
* The user profile: What the user likes and doesn't like to eat
* The user account information: Name, address, preferred meal times
* The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use?
A. BigQuery
B. Cloud Datastore
C. Cloud SQL
D. Cloud Bigtable
Answer: A

QUESTION NO: 5
Which Google Cloud Platform service is an alternative to Hadoop with Hive?
A. Cloud Datastore
B. Cloud Bigtable
C. BigQuery
D. Cloud Dataflow
Answer: C
Explanation
Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data summarization, query, and analysis.
Google BigQuery is an enterprise data warehouse.
Reference: https://en.wikipedia.org/wiki/Apache_Hive

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Updated: May 27, 2022